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UAV-based forest fire detection and tracking using image processing techniques
Abstract
In this paper, an unmanned aerial vehicle (UAV) based forest fire detection and tracking method is proposed. Firstly, a brief illustration of UAV-based forest fire detection and tracking system is presented. Then, a set of forest fire detection and tracking algorithms are developed including median filtering, color space conversion, Otsu threshold segmentation, morphological operations, and blob counter. The basic idea of the proposed method is to adopt the channel “a” in Lab color model to extract fire-pixels by making use of chromatic features of fire. Numerous experimental validations are carried out, and the experimental results show that the proposed methodology can effectively extract the fire pixels and track the fire zone.
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Cited by
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Metadata
- Authors
- Yuan, C., Liu, Z., & Zhang, Y.
- Venue
- 2015 International Conference on Unmanned Aircraft Systems (ICUAS)
- Publisher
- IEEE
- Published
- 2015-06
- Pages
- 639-643
- OpenAlex
- W1597335599
- Cited by
- 220
- References
- 0
- FWCI
- 35.02
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Yuan, C., Liu, Z., & Zhang, Y. (2015). UAV-based forest fire detection and tracking using image processing techniques. 2015 International Conference on Unmanned Aircraft Systems (ICUAS). https://doi.org/10.1109/icuas.2015.7152345
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